Tyler Lu
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- Auction Theory and Applications 10
- Advanced Bandit Algorithms Research 5
- Game Theory and Applications 3
- Artificial Intelligence top 5%
- Machine Learning and Algorithms 3
- Reinforcement Learning in Robotics 3
- Economics and Econometrics top 5%
- Game Theory and Voting Systems 8
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- Transportation Planning and Optimization 4
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- Data Management and Algorithms 4
- Co-authors
- Craig BoutilierDávid PálShai Ben-DavidMartin PálIoannis CaragiannisAriel D. ProcacciaSimi HaberOr Sheffet
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceEconomics and Econometrics
- Journals
- Artificial Intelligence (3 papers)Journal of Machine Learning Research (1 paper)ACM Journal of Experimental Algorithmics (1 paper)
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Tyler Lu
26 papers receiving 813 citations
Peers
Comparison fields: 5 of 77
- Management Science and Operations Research 366
- Artificial Intelligence 418
- Economics and Econometrics 330
- General Decision Sciences 18
- Computational Theory and Mathematics 122
Countries citing papers authored by Tyler Lu
This map shows the geographic impact of Tyler Lu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tyler Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Lu more than expected).
Fields of papers citing papers by Tyler Lu
This network shows the impact of papers produced by Tyler Lu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tyler Lu. The network helps show where Tyler Lu may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Tyler Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ConQUR: Mitigating Delusional Bias in Deep Q-Learning | 2020 | 1 |
| 2 | 2019 | 2 | |
| 3 | Non-delusional Q-learning and value-iteration | 2018 | 10 |
| 4 | Data Center Cooling using Model-predictive Control | 2018 | 64 |
| 5 | Budget allocation using weakly coupled, constrained Markov decision processes | 2016 | 26 |
| 6 | 2015 | 70 | |
| 7 | 2015 | 16 | |
| 8 | Effective sampling and learning for mallows models with pairwise-preference data | 2014 | 34 |
| 9 | 2014 | 6 | |
| 10 | Multi-winner social choice with incomplete preferences | 2013 | 12 |
| 11 | 2013 | 2 | |
| 12 | 2012 | 10 | |
| 13 | 2011 | 106 | |
| 14 | 2011 | 50 | |
| 15 | Learning Mallows Models with Pairwise Preferences | 2011 | 89 |
| 16 | Contextual Multi-Armed Bandits | 2010 | 90 |
| 17 | Impossibility Theorems for Domain Adaptation | 2010 | 87 |
| 18 | Showing Relevant Ads via Lipschitz Context Multi-Armed Bandits | 2010 | 10 |
| 19 | 2009 | 38 | |
| 20 | Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning. | 2008 | 52 |
About Tyler Lu
Tyler Lu is a scholar working on Management Science and Operations Research, Transportation, General Decision Sciences, Artificial Intelligence and Signal Processing, having authored 27 papers that have together received 856 indexed citations. Recurring topics across this work include Auction Theory and Applications (10 papers), Game Theory and Voting Systems (8 papers), Advanced Bandit Algorithms Research (5 papers), Transportation Planning and Optimization (4 papers), Data Management and Algorithms (4 papers), Machine Learning and Algorithms (3 papers), Game Theory and Applications (3 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Management Science and Operations Research (366 citations), Artificial Intelligence (418 citations), Economics and Econometrics (330 citations), General Decision Sciences (18 citations) and Computational Theory and Mathematics (122 citations). Tyler Lu has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Craig Boutilier, Dávid Pál, Shai Ben-David, Martin Pál, Ioannis Caragiannis, Ariel D. Procaccia, Simi Haber, Or Sheffet, Alejandro López-Ortíz and Jérémy Barbay. Their work appears in journals such as Artificial Intelligence, Journal of Machine Learning Research, ACM Journal of Experimental Algorithmics, Conference on Learning Theory and International Conference on Artificial Intelligence and Statistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.